Tensorflow Course Containing Colab Files for Machine Learning, Natural Language Processing And Deep Learning Implementation
- How to use Tensorflow 2.0 in Data Science
- Important differences between Tensorflow 1.x and Tensorflow 2.0
- How to implement Artificial Neural Networks in Tensorflow 2.0
- How to implement Convolutional Neural Networks in Tensorflow 2.0
- How to implement Recurrent Neural Networks in Tensorflow 2.0
- How to build your own Transfer Learning application in Tensorflow 2.0
- How to build a stock market trading bot using Reinforcement Learning(Deep-Q Network)
- How to build Machine Learning Pipeline in Tensorflow 2.0
- How to conduct Data Validation and Dataset Preprocessing using TensorFlow Data Validation and TensorFlow Transform.
- Putting a TensorFlow 2.0 model into production
- How to create a Fashion API with Flask and TensorFlow 2.0
- How to serve a TensorFlow model with RESTful API
- Introduction
- Building an ANN
- Building a CNN
- Building a RNN
- Transfer Learning and Fine Tuning
- Deep Reinforcement Learning
- Data Validation with Tensorflow Data Validation (TFDV)
- Data Preprocessing with Tensorflow Transform (TFT)
- Image Classification API
- Preparing a Tensorflow Model for Mobile Device with Tensorflow-Lite
- Distributed Training of Tensorflow 2.0 Models
Kirill Eremenko ,Data Scientist
- Course Reference Thumbnail
- Provided By
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Course Link -> Udemy
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